Tagged Questions

A cartographic delineation of distinct land areas, identified by their geology, topography, soils, vegetation, climate conditions, living species, habitats, water resources, as well as anthropic factors.

I have been trying to learn to work with QGIS (open-source GIS software) through some tutorials available online for classification of image for land cover. These tutorials used a dataset from Landsat ...

I have a Geocoded SAR data with me. I have to perform LULC classification. I have been given a shapefile (vector data) with the different LULC categories of the region. The region is mainly composed ...

New to Erdas but I have to do a project and I have chosen to do a landcover land change detection. I have two Landsat 5 images, five years apart from each other. My question is: what is my next step?
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I want to perform some machine learning classification of images using R. I'm having issues finding out how to export my training data from ArcGis into R and I'm looking for some help. Currently I do ...

I pan-sharpened one Landsat Image on ERDAS using the resolution merge resource, with brovey transform and nearest neighbor techniques. But I was told that in terms of land-use classification, it would ...

Which are the most common features in order to perform a supervised classification in remote sensing?
Furthermore anyone worked with SAR features? Which are the most commonly used?
Can anybody suggest ...

I have 3 Landsat images for the same area. One in 1972 (landsat 2 mss), one in 1996 (landsat 5 TM) and one in 2010 (landsat 7 ETM). I would like to detect changes in land cover and create diachronic ...

I am having trouble processing an image through the Unsupervised KMeans image classification in the OTB Toolbox of QGIS 2.4. I have a .tif image in the Input Image box and keep all the defaults.
When ...

I would like to understand if pixel-based classification algorithm (e.g. Maximum Likelihood classification ) can be used for object-based classification (i.e. after a segmentation procedure).
On the ...

I have a problem with performing RF in R for a WorldView-2 Scene. I've never ever before used R for remote sensing classification, so I simply followed what is written here.
I've loaded scene (8-band ...

I want to classify satellite image in R using RWeka classifier, J48. I have a CSV file with the classes required, and raster data loaded in R. I am able to make the tree, however, I am not able to use ...

I have a complex landcover classification for a landsat scene at 30m spatial resolution. Includes about 600 land cover classes. There is a fair amount of clumping per group. I have a MODIS EVI 16 day ...

I have multiband satellite images BIP format, Landsat TM/ETM containing 7/8 bands respectively along with a separate header file, some of them corrected by nearest neighbour classifier.
I'm working ...

I am trying to run a supervised MLC classification on a multispectral remotely sensed image, however, I want the image to be classified using a shapefile of segmented image objects (as opposed to the ...

I recently produced map of LULC but there is the difficulty of distinguishing between the types of crops. Is there a method to distinguish between the types of cultivated crops such as wheat, barley, ...

I'm new to GIS. Is machine learning used much in this field, and where?
I'm investigating a job opportunity with a mapping company working on traffic awareness. My background is in supervised machine ...

Consider the NLCD2001 Land Cover dataset for Alaska (download link). I need to reclassify this dataset so that only pixels of value 41, 42, and 43 are preserved; all other pixel values should become ...

The attached image is the result of an image segmentation algorithm on high resolution imagery. The smaller clusters of pixels represent trees and brush and the larger cluster of pixels (marked with ...